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Plasma miR371 as Reliable Biomarker for Testicular Cancer Surveillance

2023· article· en· W4386457031 on OpenAlexaboutno aff
Dibash Kumar Das

Bibliographic record

VenueOncology Times · 2023
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBiomarkerTesticular cancerOrchiectomyInternal medicineStage (stratigraphy)OncologyCancer

Abstract

fetched live from OpenAlex

Testicular Cancer: Testicular CancerTesticular germ cell tumors (GCT) often present in clinical Stage I (CSI), requiring careful surveillance to monitor for relapse. However, the lack of reliable biomarkers has posed a challenge in identifying early signs of relapse. New research presented at the 2023 ASCO Annual Meeting focused on plasma miR-371a-3p (miR371), a potential biomarker demonstrating high sensitivity and specificity in advanced non-teratoma GCT. The recent long-term follow-up analysis aimed to evaluate the operating characteristics of miR371 in detecting early relapse in CSI GCT patients (J Clin Oncol 2023; doi: 10.1200/JCO.2023.41.16_suppl.5006). The study, conducted with patients enrolled in the British Columbia provincial biobank, included those with available plasma samples after radical orchiectomy. The qualitative assessment of plasma miR371 was performed using RT-PCR. Lucia Nappi, MD, PhD, and her research team evaluated the sensitivity, specificity, negative and positive predictive values (NPV, PPV), and area under the curve (AUC) to determine the predictive power of miR371 in detecting tumor recurrence. Additionally, the post-orchiectomy miR371 status was correlated with relapse-free survival (RFS) in the patients. In total, 101 patients were included in the analysis, with a median follow-up of 41 months. Among them, 35 patients (34.6%) had disease relapse. miR371 was found to be positive in 22 out of the 35 relapsed patients. The specificity and PPV of miR371 were both 100 percent, indicating a lack of false-positive results. The sensitivity was determined to be 62.8 percent, while the NPV reached 83.5 percent. The AUC value was calculated to be 0.81, indicating a promising diagnostic performance. Notably, the patients with a positive post-orchiectomy miR371 had significantly shorter RFS compared to those with a negative miR371 result. The median RFS for the miR371-positive group was only 3.5 months, highlighting the potential of miR371 as an early indicator of relapse. The hazard ratio for relapse in miR371-positive patients was 16.9. Moreover, the sensitivity of miR371 correlated with tumor burden, time between relapse and miRNA testing, and histology with non-seminoma tumors demonstrating higher sensitivity compared to seminoma tumors. To discuss the implications of the study and the miR371 expression as a biomarker, Oncology Times chatted with lead study author, Lucia Nappi, MD, PhD, a medical oncologist and senior research scientist at the Vancouver Prostate Centre. Oncology Times: What are the implications of these findings for clinical practice? Nappi: “Our data confirmed a very high-positive predictive value and specificity (100%) and a high-negative predictive value (83%) in patients without evidence of tumor recurrence or at a very early stage of the tumor. This means that a positive miR371 after the orchiectomy almost certainly predicts the occurrence of a relapse, while a negative result rules out a recurrence of cancer in 83 percent of the patients. If these data are validated in a larger patient sample, we could think of using this biomarker after the orchiectomy to plan the treatment (e.g., surveillance vs. surgery) or during the surveillance to diagnose a very early tumor recurrence and, therefore, use less toxic treatment options.” Oncology Times: What further research is needed to fully understand the potential of miR371 expression as a biomarker for detecting early relapse in patients with testicular germ cell tumors? Nappi: “The main limitations of our study are the limited number of patients analyzed and the lack of longitudinal blood samples for most of the patients. Clinical trials enrolling a larger number of patients with pre-defined time points for longitudinal blood samples collection will overcome these limitations and be used to validate the operating characteristics of miR371 in detecting minimal residual disease or early relapse in CSI testis cancer patients. “There are two clinical trials currently opened and actively enrolling patients that will define the accuracy of miR371 in detecting early relapse and the timing of miR371 positivity during the surveillance. The SWOG S1823 trial (NCT04435756) is opened in >200 centers in the U.S. and in Canada through the Canadian Cancer Trials Group and has enrolled 725 of the 956 planned patients. The first interim analysis is expected next year. “The Children's Oncology Group AGCT 1523 trial (NCT03067181) has an optional biomarker correlative component that will also analyze the serum miRNAs profile of pediatric and adult patients with testicular cancer with early or advanced stage of disease, on surveillance, or receiving chemotherapy. Other studies using the miR371 status post-orchiectomy for treatment planning are under development, such as a clinical trial that will allocate patients to either surveillance or primary [retroperitoneal lymph node dissection] RPLND based on post-orchiectomy miR371.” Oncology Times: How might the use of miR371 expression as a biomarker impact the management of patients with testicular germ cell tumors in terms of surveillance protocols and treatment decisions? Nappi: “The miR371 has many potential clinical applications if its operating characteristics will be confirmed in the before-mentioned clinical trials. First, miR371-positive patients immediately post-orchiectomy could be treated with less long-term toxic regimens, such as surgery. We have several clinical trials that demonstrate the high activity of primary RPLND in patients with Stage IIA seminomas and we already had data for early-stage non-seminoma patients. Surgery is associated with relapse-free survival of 70 percent and a specific cancer survival that approaches 100 percent with the incredible advantage to spare long-term toxicity (associated with chemotherapy or radiation therapy) to a patient population characterized by a very long life expectancy. “Second, a high specific biomarker can reduce the risk of overtreatment in patients who have clinical suspicious findings of tumor (i.e., low elevated tumor markers or borderline enlarged retroperitoneal lymph nodes) but have no cancer. Third, miR371 integrated with the current clinical diagnostic tools could be used to detect residual post-chemotherapy disease discriminating between residual active germ cell malignancy (miR371-positive) fibrosis (miR371-negative, stable, or decreasing lesions on CT scan) or teratoma (miR371-negative, growing lesions on CT scan). And fourth, especially in seminoma patients, miR371 could completely substitute CT scans for active surveillance, decreasing the exposure to ionizing radiation.” Dibash Kumar Das is a contributing writer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.357
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
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